Microvascular invasion and early recurrence of hepatocellular carcinoma after CT-guided radiofrequency ablation: risk factor analysis.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 3/4)
유사 논문P · Population 대상 환자/모집단
186 patients who underwent CT-guided RFA for primary HCC at a single institution.
I · Intervention 중재 / 시술
CT-guided RFA for primary HCC at a single institution
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSION] Patients with HCC exhibiting certain high-risk features are susceptible to MVI and early recurrence following CT-guided RFA.
[BACKGROUND] Hepatocellular carcinoma (HCC) remains a major global health challenge, and microvascular invasion (MVI) and early recurrence pose significant obstacles to effective treatment.
APA
Liu Y, Zhao X, et al. (2025). Microvascular invasion and early recurrence of hepatocellular carcinoma after CT-guided radiofrequency ablation: risk factor analysis.. Frontiers in oncology, 15, 1672300. https://doi.org/10.3389/fonc.2025.1672300
MLA
Liu Y, et al.. "Microvascular invasion and early recurrence of hepatocellular carcinoma after CT-guided radiofrequency ablation: risk factor analysis.." Frontiers in oncology, vol. 15, 2025, pp. 1672300.
PMID
41195269 ↗
Abstract 한글 요약
[BACKGROUND] Hepatocellular carcinoma (HCC) remains a major global health challenge, and microvascular invasion (MVI) and early recurrence pose significant obstacles to effective treatment. Identifying the risk factors associated with these complications following computed tomography (CT)-guided radiofrequency ablation (RFA) is essential for optimizing patient management and improving treatment outcomes.
[METHODS] A retrospective analysis was conducted from January 2020 to January 2022, involving 186 patients who underwent CT-guided RFA for primary HCC at a single institution. The study assessed tumor characteristics, liver function, and post-treatment outcomes to identify predictors of MVI and early recurrence. Logistic regression and machine learning were employed to determine statistically significant risk factors.
[RESULTS] Multiple tumors, incomplete capsules, irregular tumor margins, and rapid portal venous washout were identified as significant predictors of MVI. Similarly, rapid portal venous phase washout, tumor internal necrosis, MVI, multiple tumors, and incomplete capsule integrity were strongly associated with early recurrence. The results of the logistic regression machine learning further enhance the reliability of the current findings.
[CONCLUSION] Patients with HCC exhibiting certain high-risk features are susceptible to MVI and early recurrence following CT-guided RFA. The identified risk factors suggest the need for enhanced monitoring and personalized therapeutic strategies to improve patient outcomes.
[METHODS] A retrospective analysis was conducted from January 2020 to January 2022, involving 186 patients who underwent CT-guided RFA for primary HCC at a single institution. The study assessed tumor characteristics, liver function, and post-treatment outcomes to identify predictors of MVI and early recurrence. Logistic regression and machine learning were employed to determine statistically significant risk factors.
[RESULTS] Multiple tumors, incomplete capsules, irregular tumor margins, and rapid portal venous washout were identified as significant predictors of MVI. Similarly, rapid portal venous phase washout, tumor internal necrosis, MVI, multiple tumors, and incomplete capsule integrity were strongly associated with early recurrence. The results of the logistic regression machine learning further enhance the reliability of the current findings.
[CONCLUSION] Patients with HCC exhibiting certain high-risk features are susceptible to MVI and early recurrence following CT-guided RFA. The identified risk factors suggest the need for enhanced monitoring and personalized therapeutic strategies to improve patient outcomes.
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